What Challenges Exist in Integrating AI with Nanotechnology?
Despite its potential, integrating AI with nanotechnology presents several challenges:
Data Quality: High-quality, large datasets are essential for training AI models, but such data can be scarce in nanotechnology research. Interdisciplinary Collaboration: Effective integration requires collaboration between AI experts and nanotechnologists, which can be hindered by differences in terminology and methodology. Computational Resources: AI-driven optimization often demands substantial computational power, which can be a limiting factor for many research facilities.
